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ICML
1996
IEEE
16 years 3 months ago
Discretizing Continuous Attributes While Learning Bayesian Networks
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Moisés Goldszmidt, Nir Friedman
WWW
2010
ACM
15 years 10 months ago
Web search/browse log mining: challenges, methods, and applications
Huge amounts of search and browse log data has been accumulated in various search engines. Such massive search/browse log data, on the one hand, provides great opportunities to mi...
Daxin Jiang, Jian Pei, Hang Li
119
Voted
ECML
2007
Springer
15 years 9 months ago
An Unsupervised Learning Algorithm for Rank Aggregation
Many applications in information retrieval, natural language processing, data mining, and related fields require a ranking of instances with respect to a specified criteria as op...
Alexandre Klementiev, Dan Roth, Kevin Small
ESWS
2007
Springer
15 years 9 months ago
Vague Knowledge Bases for Matchmaking in P2P E-Marketplaces
In this paper we propose an approach to semantic matchmaking that exploits various knowledge representation technologies to find most promising partners in peer-to-peer e-marketpl...
Azzurra Ragone, Umberto Straccia, Tommaso Di Noia,...
IPPS
2006
IEEE
15 years 9 months ago
A nonself space approach to network anomaly detection
The paper presents an approach for the anomaly detection problem based on principles of immune systems. Flexibility and efficiency of the anomaly detection system are achieved by ...
Marek Ostaszewski, Franciszek Seredynski, Pascal B...